# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ADImpute" in publications use:'
type: software
license: GPL-3.0-only
title: 'ADImpute: Adaptive Dropout Imputer (ADImpute)'
version: 1.22.0
doi: 10.32614/CRAN.package.ADImpute
abstract: 'Single-cell RNA sequencing (scRNA-seq) methods are typically unable to
  quantify the expression levels of all genes in a cell, creating a need for the computational
  prediction of missing values (‘dropout imputation’). Most existing dropout imputation
  methods are limited in the sense that they exclusively use the scRNA-seq dataset
  at hand and do not exploit external gene-gene relationship information. Here we
  propose two novel methods: a gene regulatory network-based approach using gene-gene
  relationships learnt from external data and a baseline approach corresponding to
  a sample-wide average. ADImpute can implement these novel methods and also combine
  them with existing imputation methods (currently supported: DrImpute, SAVER). ADImpute
  can learn the best performing method per gene and combine the results from different
  methods into an ensemble.'
authors:
- family-names: Leote
  given-names: Ana Carolina
  email: anacarolinaleote@gmail.com
  orcid: https://orcid.org/0000-0003-0879-328X
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/anacarolinaleote/ADImpute
commit: b9fcc5fba222fd9a729b87b157d5cffa76b46816
url: https://github.com/anacarolinaleote/ADImpute
date-released: '2026-04-28'
contact:
- family-names: Leote
  given-names: Ana Carolina
  email: anacarolinaleote@gmail.com
  orcid: https://orcid.org/0000-0003-0879-328X